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Search Results (6)
  • Open Access

    REVIEW

    Male Breast Cancer: Epidemiology, Diagnosis, Molecular Mechanisms, Therapeutics, and Future Prospective

    Ashok Kumar Sah1,*, Ranjay Kumar Choudhary1,2, Velilyaeva Alie Sabrievna3, Karomatov Inomdzhon Dzhuraevich4, Anass M. Abbas5, Manar G. Shalabi5, Nadeem Ahmad Siddique6, Raji Rubayyi Alshammari7, Navjyot Trivedi8, Rabab H. Elshaikh1

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.068238 - 30 December 2025

    Abstract Male breast cancer (MBC) is rare, representing 0.5%–1% of all breast cancers, but its incidence is increasing due to improved diagnostics and awareness. MBC typically presents in older men, is human epidermal growth factor receptor 2 (HER2)-negative and estrogen receptor (ER)-positive, and lacks routine screening, leading to delayed diagnosis and advanced disease. Major risk factors include hormonal imbalance, radiation exposure, obesity, alcohol use, and Breast Cancer Gene 1 and 2 (BRCA1/2) mutations. Clinically, it may resemble gynecomastia but usually appears as a unilateral, painless mass or nipple discharge. Advances in imaging and liquid biopsy have More >

  • Open Access

    REVIEW

    A Narrative Review of Artificial Intelligence in Medical Diagnostics

    Takanobu Hirosawa*, Taro Shimizu

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 3919-3944, 2025, DOI:10.32604/cmc.2025.063803 - 19 May 2025

    Abstract Artificial Intelligence (AI) is fundamentally transforming medical diagnostics, driving advancements that enhance accuracy, efficiency, and personalized patient care. This narrative review explores AI integration across various diagnostic domains, emphasizing its role in improving clinical decision-making. The evolution of medical diagnostics from traditional observational methods to sophisticated imaging, laboratory tests, and molecular diagnostics lays the foundation for understanding AI’s impact. Modern diagnostics are inherently complex, influenced by multifactorial disease presentations, patient variability, cognitive biases, and systemic factors like data overload and interdisciplinary collaboration. AI-enhanced clinical decision support systems utilize both knowledge-based and non-knowledge-based approaches, employing machine… More >

  • Open Access

    REVIEW

    The genetics of pediatric inflammatory bowel disease: Towards precision medicine

    AHMAD SHAHIR MOHAMAD NAZRI, NAZIHAH MOHD YUNUS, MARAHAINI MUSA*

    BIOCELL, Vol.49, No.1, pp. 149-160, 2025, DOI:10.32604/biocell.2024.057352 - 24 January 2025

    Abstract Pediatric inflammatory bowel disease (IBD) is a chronic and heterogeneous disease. IBD is commonly classified into Crohn’s disease and ulcerative colitis. It is linked to serious symptoms and complications. The onset of IBD commonly occurs during adolescence. Despite the significant number of cases globally (~5 million), the causes of pediatric IBD, which constitutes 25% of IBD patients, are not yet fully understood. Apart from environmental factors, genetic factors contribute to a higher risk of developing IBD. The predisposition risk of IBD can be investigated using genetic testing. Genetic mechanisms of pediatric IBD are highly complex More >

  • Open Access

    ARTICLE

    Transforming Healthcare: AI-NLP Fusion Framework for Precision Decision-Making and Personalized Care Optimization in the Era of IoMT

    Soha Rawas1, Cerine Tafran1, Duaa AlSaeed2, Nadia Al-Ghreimil2,*

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4575-4601, 2024, DOI:10.32604/cmc.2024.055307 - 19 December 2024

    Abstract In the rapidly evolving landscape of healthcare, the integration of Artificial Intelligence (AI) and Natural Language Processing (NLP) holds immense promise for revolutionizing data analytics and decision-making processes. Current techniques for personalized medicine, disease diagnosis, treatment recommendations, and resource optimization in the Internet of Medical Things (IoMT) vary widely, including methods such as rule-based systems, machine learning algorithms, and data-driven approaches. However, many of these techniques face limitations in accuracy, scalability, and adaptability to complex clinical scenarios. This study investigates the synergistic potential of AI-driven optimization techniques and NLP applications in the context of the… More >

  • Open Access

    REVIEW

    The Interface of Cancer, Their Microenvironment and Nanotechnology

    Natalia Roque1,#, Diana Matias2,#, Joana Balça-Silva3, Valéria Pereira Ferrer4, Luciana Santos Pessoa1, Tania Cristina Leite de Sampaio e Spohr1,5,*

    Oncologie, Vol.24, No.3, pp. 371-411, 2022, DOI:10.32604/oncologie.2022.024035 - 19 September 2022

    Abstract Cancer is one of the deadliest diseases with a cure far from being found. Despite the extraordinary advances in the therapy approaches, only a few patients respond to treatments. The tumor microenvironment (TME) plays a crucial role in cancer progression by contributing to the chemoresistance. Thus, emerging efforts are being made in nanotechnology research focusing on nanoparticles’ potential role and their application in immune system modulation. Moreover, the omics have contributed to bioengineering and nanotechnology development by elucidating the mechanisms of cancer and specific biomarkers that could be used as new therapeutic targets. Furthermore, the More >

  • Open Access

    ARTICLE

    Patient reported outcomes among treatment modalities for prostate cancer

    Matthew E. Johnson1,*, Nicholas G. Zaorsky1,*, Jeffrey M. Martin1, Karen Ruth2, Richard E. Greenberg3, Robert G. Uzzo3, Shelly B. Hayes1, Marc C. Smaldone3, Alexander Kutikov3, Rosalia Viterbo3, David Y. T. Chen3, Mark A. Hallman1, Mark L. Sobczak1, Eric M. Horwitz1

    Canadian Journal of Urology, Vol.23, No.6, pp. 8535-8545, 2016

    Abstract Introduction: To characterize patient reported outcomes for urinary and sexual function using International Prostate Symptom Score (IPSS) and Sexual Health Inventory for Men (SHIM) comparing intensity modulated radiation therapy (IMRT), low dose rate brachytherapy (LDR), post-prostatectomy IMRT (PPRT), and radical prostatectomy (RP).
    Materials and methods: Patients treated for prostate cancer from 2001-2012 completed self-reported SHIM and IPSS surveys. Subgroups were created by baseline score. Mean change from baseline was determined at each time point for the cohort and subgroups. Statistical analysis was performed with generalized estimating equation method. Incontinence was not captured in the questionnaires.
    Results: A total… More >

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